Curriculum Vitae. Computer Vision, Image Processing, Biometrics. Computer Vision, Vision Rehabilitation, Vision Science

Transcription

1 Curriculum Vitae Date Prepared: 01/09/2016 (last updated: 09/12/2016) Name: Shrinivas J. Pundlik Education 07/2002 B.E. (Bachelor of Engineering) Electronics Engineering University of Pune, Pune, India 12/2005 M.S. Electrical Engineering Clemson University, Clemson, SC USA 08/2009 Ph.D. Electrical Engineering (Stanley T. Birchfield, Ph.D.) Clemson University, Clemson, SC USA Postdoctoral Training 08/09 09/10 Research Associate (Damon L. Woodard, Ph.D.) 11/10 02/16 Postdoctoral Fellow (Gang Luo, Ph.D.) Computer Vision, Image Processing, Biometrics Computer Vision, Vision Rehabilitation, Vision Science School of Computing, Clemson University, Clemson SC Schepens Eye Research Institute, Harvard Medical School, Boston MA Faculty Academic Appointments 02/16 present Instructor Department of Ophthalmology Harvard Medical School Other Professional Positions 07/02 07/03 Project Engineer/Management Trainee Larsen & Toubro Ltd., Mumbai, India 01/04 12/05 Research Assistant 01/06 12/07 Teaching Assistant 01/09 07/09 Research Assistant School of Computing, Clemson University Professional Societies Institute of Electrical and Electronics Engineers (IEEE) Student Member Computer Vision Foundation Member Vision Science Society (VSS) Member present Association for Research in Vision and Ophthalmology Member in Training 1

2 Editorial Activities Ad hoc Reviewer (past & present): IEEE Transactions on Instrumentation and Measurement IEEE Transactions on Image Processing EURASIP Journal of Advances in Signal Processing SPIE Journal of Electronic Imaging Biomed Research International Optics and Lasers in Engineering Journal of Engineering in Medicine IEEE International Conference on Fuzzy Systems and Knowledge Discovery 2012 Honors and Prizes 2007 Harris Outstanding Teaching Assistant Award 2015 Outstanding Reviewer Recognition IEEE Transactions on Instrumentation and Measurement Teaching Reviewing Report of Local Teaching and Training Laboratory and Other Research Supervisory and Training Responsibilities: Supervision of co-op MS students / Schepens Eye Research Institute 1:1 supervision (1 hour /week) Report of Regional, National and International Invited Teaching and Presentations Teaching of Students in Courses ECE 201L Logic and Computational Devices Lab (Sophomore Students) ECE 211 Electrical Engineering Lab I (Sophomore Students) ECE 309 Electrical Engineering Lab I (Junior Non-Electrical Engineering Majors) Research Presentations (National) No presentations below were sponsored by outside entities Non-ideal iris segmentation using graph cuts. (paper) IEEE Computer Society and IEEE Biometrics Council Workshop on Biometrics (in association with CVPR), Anchorage, Alaska Motion based view invariant articulated motion detection and pose estimation using sparse point features. (paper)

3 International Symposium on Visual Computing (ISVC), Las Vegas, Nevada Time to collision and collision risk estimation from local scale and motion. (paper) International Symposium on Visual Computing (ISVC), Las Vegas, Nevada Collision detection for the visually impaired from a body-mounted camera. (paper) The Third IEEE International Workshop on Mobile Vision (CVPRW), Portland, Oregon Stabilization of magnified videos on a mobile device for visually impaired. (short paper) The Third IEEE International Workshop on Mobile Vision (CVPRW), Portland, Oregon Evaluation of a portable collision warning device for visually impaired patients in an indoor obstacle course. (abstract) The Association for Research in Vision and Ophthalmology Annual Meeting, Orlando, Florida. Report of Technological and Other Scientific Innovations Collision Prediction US Patent Application PCT/US2013/060973, filed in As a member of Luo Lab, I developed a computer algorithm for predicting collisions using the optical flow in video frames. Collision Warning Device SuperVision+ Google Glass Screenshare A portable, pocket-sized, video camera based collision warning device for people with peripheral vision loss that detects potential collisions and provides audio warnings. A mobile app for magnification and stabilization of live video (ios & Android). I was part of a team that developed this app for people with lowvision to be used as magnification and way-finding tool. An app for remotely viewing and interacting with a magnified smartphone displays using Google Glass. This app allows people with low-vision who use magnification on their smartphone to remotely navigate and interact with their smartphones using Google Glass head-mounted display. EyeTurn A smartphone app for photographic measurement of strabismus. This is an app intended for use by doctors/optometrists/health care providers to rapidly measure eye alignment. Mobile Device Application for Ocular Misalignment Measurement. U.S. Provisional Application No.: 62/295,869, filed in 02/2016. Report of Scholarship Peer reviewed publications in print and other media Research investigations 1. S. J. Pundlik and S. T. Birchfield, Real Time Segmentation of Sparse Feature Points at Any Speed, IEEE Transactions on System, Man and Cybernetics, 38(3): ,

4 2. S. J. Pundlik, D. L. Woodard, and S. T. Birchfield, Iris Segmentation in Non-Ideal Images Using Graph Cuts, Image and Vision Computing, 28(12): , D. L. Woodard, S. J. Pundlik, P. E. Miller, and J. Lyle, Appearance Based Periocular Features in the Context of Face and Non-Ideal Iris Recognition, H. Proença, E. Y. Du, and J. Scharcanski (Eds.); Springer Signal Image and Video Processing, Special Issue On Unconstrained Biometrics: Advances and Trends, 5(3): , J. Lyle, P. E. Miller, S. J. Pundlik, and D.L.Woodard, Soft biometric classification using local appearance periocular region features, Pattern Recognition, 45(11): , M. Tomasi, S. J. Pundlik, and G. Luo, FPGA DSP co-processing for feature tracking in smart video sensors, Journal of Real-Time Image Processing (Special Issue Paper), March S. J. Pundlik, M. Tomasi, and G. Luo, Evaluation of a portable collision warning device for patients with peripheral vision loss in an obstacle course, Investigative Ophthalmology and Visual Science, 57(4): , M. Tomasi, S. J. Pundlik, A. Bowers, E. Peli, and G. Luo, Mobile Gaze Tracking System for Outdoor Walking Behavioral Studies, Journal of Vision, 16(3):27, S. J. Pundlik, H. Yi, R. Liu, E. Peli, and G. Luo, Magnifying Smartphone Screen using Google Glass for Low-Vision Users, IEEE Transactions on Neural Systems and Rehabilitation Engineering, (in press), March Other peer-reviewed publications 1. N. K. Kanhere, S. J. Pundlik, and S. T. Birchfield, Vehicle Segmentation and Tracking from a Low-Angle Off-Axis Camera, Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), S. J. Pundlik and S. T. Birchfield, Motion Segmentation at Any Speed, Proceedings of the British Machine Vision Conference (BMVC), S. T. Birchfield and S. J. Pundlik, Joint Tracking of Features and Edges, Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), S. J. Pundlik, D. L. Woodard, and S. T. Birchfield, Non-Ideal Iris Segmentation Using Graph Cuts, IEEE Computer Society and IEEE Biometrics Council Workshop on Biometrics (in association with CVPR), S. J. Pundlik and S. T. Birchfield, Motion Based View Invariant Articulated Motion Detection and Pose Estimation Using Sparse Point Features, International Symposium on Visual Computing (ISVC), P. E. Miller, A. W. Rawls, S. J. Pundlik, and D. L. Woodard, Personal Identification Using Periocular Skin Texture, ACM Symposium on Applied Computing, D. L. Woodard, S. J. Pundlik, J. R. Lyle, and P. E. Miller, Periocular Region Appearance Cues for Biometric Identification, IEEE Computer Society and IEEE Biometrics Council Workshop on Biometrics (in association with CVPR), D. L. Woodard, S. J. Pundlik, P. E. Miller, R. Jillela, and A. Ross, On the Fusion of Periocular and Iris Biometrics in Non-Ideal Imagery, International Conference on Pattern Recognition (ICPR),

5 9. J. R. Lyle, P. E. Miller, S. J. Pundlik, and D. L. Woodard, Soft Biometric Classification Using Periocular Region Features, IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), P. E. Miller, J. R. Lyle, S. J. Pundlik, and D. L. Woodard, Performance Evaluation of Local Appearance Based Periocular Recognition, IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), S. J. Pundlik, Eli Peli, and Gang Luo, Time to Collision and Collision Risk Estimation from Local Scale and Motion, Proceedings of the 7 th International Conference on Advances of Visual Computing (ISVC), Vol. I, , S. J. Pundlik, and Gang Luo, Collision Risk Estimation from an Uncalibrated Moving Camera Based on Feature Points Tracking and Clustering IEEE International Conference on Fuzzy Systems and Knowledge Discovery, , S. J. Pundlik, M. Tomasi, and G. Luo, Collision Detection for Visually Impaired from a Body- Mounted Camera, IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 41-47, Zewen Li, S. J. Pundlik, and G. Luo, Stabilization of Magnified Videos on a Mobile Device for Visually Impaired, IEEE International Conference on Computer Vision and Pattern Recognition Workshops (Workshop on Mobile Vision), 54-55, Non-peer reviewed scientific or medical scholarships/materials in print and other media Abstracts, Poster Presentations and Exhibits Presented at Professional Meetings 1. G. Luo and S. J. Pundlik, Image stabilization in smart phone magnification apps helps read distant text, (ARVO Annual Meeting) Investigative Ophthalmology Vision Science 55(3), S. J. Pundlik, H. Yi, R. Liu, E. Peli, and G. Luo, Evaluation of a Google Glass App for Smartphone Screen Zoom, (Envision Conference) Visibility 8(3), [selected oral abstract presented by G. Luo] 3. S. J. Pundlik, M. Tomasi, K. Houston, and G. Luo, Preliminary Evaluation of a Mobile App for Strabismus Screening, (ARVO Annual Meeting) Investigative Ophthalmology and Visual Science 56(7), [abstract selected as hot topic, a recognition given to about 6% of the submitted abstracts] 4. S. J. Pundlik, R. Woods, and G. Luo, From small to large, all saccades follow the same timeline, (Vision Science Society Annual Meeting) Journal of Vision, 15(13)-73, M. Tomasi., S. J. Pundlik, J. Zheng, P. Anedda, and G. Luo, Using Smartphone Sensor to Improve Image-Based Scene Recognition for Indoor Localization, Indoor Positioning and Indoor Navigation IPIN conference, S. J. Pundlik, M. Tomasi, K. Houston, and G. Luo, Use of a smartphone app for heterophoria measurement, ARVO Annual Meeting, Thesis S. J. Pundlik, Motion Segmentation from Clustering of Sparse Point Features Using Spatially Constrained Mixture Models, PhD dissertation, Department of, Clemson University, Clemson SC USA, Aug